udemy gcp data engineer

Data Visualization with Python and JavaScript - 2nd Edition by Kyran Dale (Paperback)

Fundamentals of Data Observability - by Andy Petrella (Paperback)

Product Management in Practice - 2nd Edition by Matt Lemay (Paperback)

Natural Language Processing with Transformers, Revised Edition - by Lewis Tunstall & Leandro Von Werra & Thomas Wolf (Paperback)

Head First Algorithms and Data Structures - by Eric Freeman & Elisabeth Robson (Paperback)

Vector Databases - by Nitin Borwankar (Paperback)

Prompt Engineering for Llms - by John Berryman & Albert Ziegler (Paperback)

Implementing Data Mesh - by Jean-Georges Perrin & Eric Broda (Paperback)

Hands-On Machine Learning with Scikit-Learn, Keras, and Tensorflow - 3rd Edition by Aurélien Géron (Paperback)

Data Quality Fundamentals - by Barr Moses & Lior Gavish & Molly Vorwerck (Paperback)

Practical Data Privacy - by Katharine Jarmul (Paperback)

Machine Learning Design Patterns - by Valliappa Lakshmanan & Sara Robinson & Michael Munn (Paperback)

Introducing MLOps - (Paperback)

Implementing Service Level Objectives - by Alex Hidalgo (Paperback)

Practical Linear Algebra for Data Science - by Mike X Cohen (Paperback)

Mastering API Architecture - by James Gough & Daniel Bryant & Matthew Auburn (Paperback)

Python for Geospatial Data Analysis - by Bonny P McClain (Paperback)

Developing Apps with GPT-4 and ChatGPT - 2nd Edition by Olivier Caelen & Marie-Alice Blete (Paperback)

Kubernetes: Up and Running - 3rd Edition by Brendan Burns & Joe Beda & Kelsey Hightower & Lachlan Evenson (Paperback)

Essential Math for AI - by Hala Nelson (Paperback)

Unifying Business, Data, and Code - by Ron Itelman & Juan Cruz Viotti (Paperback)

Data Mesh - by Zhamak Dehghani (Paperback)

Automating Data Quality Monitoring - by Jeremy Stanley & Paige Schwartz (Paperback)

Using OpenMP-The Next Step - (Scientific and Engineering Computation) by Ruud Van Der Pas & Eric Stotzer & Christian Terboven (Paperback)